Lucid Motors is seeking a Behavior Planning Engineer to design and develop cutting-edge machine learning architectures for behavior planning in their autonomous driving models.
Requirements
- Proficiency in C++ & Python, with 3+ years of academic/industry experience specifically with relevant libraries used for machine learning, data analysis and management
- Demonstrated expertise in software design principles, with a focus on creating scalable and efficient data management systems
- Demonstrated expertise in deep learning principles, with a focus on developing large-scale models
- Understanding and exposure to non-ML planning methods
- 3+ years of academic/industry experience in ML development, with a solid understanding of its applications in large-scale data systems
- Background in one of these areas' perception, environment modeling , prediction or planning as part of ADAS/AD software stack or equivalent robotic applications
- Experience working with Foundational models, LLMs, end-end models for AV stacks
Responsibilities
- Design, prototype, engineer, test, release and launch cutting edge features for ADAS/Autonomous Driving
- Conduct research to come up with state-of-the-art machine learning based planning and prediction solutions and have the drive and expertise to take such solution to production
- Designing, developing and evaluating cutting-edge machine learning architectures for behavior planning
- Managing the storage, curation, and transport of data from our fleet and customers for the purpose of automated inference and algorithm development
- Conduct data analysis to extract critical scenarios from simulation data and fleet data, contributing to the enhancement of our autonomous driving system's decision-making capabilities
Other
- BS or MS/PhD (preferred) in Computer Engineering, Computer Science or Data Science
- Proactive, can-do attitude and approaches their work systematically with vigor, determination, and accuracy
- Ability to learn quickly and to strive for perfection within a fast-paced environment
